CT scan generated material twins for composites manufacturing in Industry 4.0 /

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Bibliographic Details
Author / Creator:Ali, Muhammad A.
Imprint:Singapore : Springer, 2020.
Description:1 online resource
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12608029
Hidden Bibliographic Details
Other authors / contributors:Umer, Rehan.
Khan, Kamran A.
ISBN:9789811580215
9811580219
9811580200
9789811580208
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed December 18, 2020).
Summary:This book highlights a novel and robust platform in the form of in-situ characterization setup for creating X-ray computed tomography (XCT)-based textile material twins. In this hybrid experimental-numerical platform, XCT images of different complex fibrous reinforcements at different levels of compaction are acquired. The images are converted into computational models for resin flow simulations. The capabilities of this hybrid framework are applied to a variety of reinforcements used in liquid composite molding processes such as 2D, 3D fabrics and dry tapes. This book is a milestone in the development of virtual manufacturing protocols using material twins of textiles, providing a step closer to the digitalization of advanced composites used in manufacturing processes for industry 4.0.
Other form:Original 9811580200 9789811580208
Standard no.:10.1007/978-981-15-8021-5